Analysis of Gut Microbiota Characteristics in Zhuang Ethnic Group Patients with Post-Stroke Cognitive Impairment in Baise City, Guangxi

Authors

  • Caimei Yang
  • Zongshuai Qin
  • Lanqing Meng
  • Tonghua Long

DOI:

https://doi.org/10.54097/xx41qm58

Keywords:

Post-stroke Cognitive Dysfunction, Guangxi Baise City Zhuang Ethnic Group, Intestinal Flora Characteristics, Correlation

Abstract

Objective: To analyze the intestinal microbiota characteristics in patients with post-stroke cognitive impairment (PSCI) in the Zhuang population of Baise, Guangxi, and to provide a theoretical foundation for understanding the pathogenesis of PSCI and the potential application of fecal microbiota transplantation as a therapeutic strategy. Methods: Clinical baseline data were collected from 30 stroke patients admitted to the Affiliated Hospital of Youjiang Medical University for Nationalities from January 2024 to December 2024, who were designated as the stroke group. Additionally, 30 healthy individuals undergoing routine physical examination were selected as the control group, and 30 patients diagnosed with PSCI were included in the PSCI group. Stool samples were collected from all participants. Genomic DNA was extracted using a specialized fecal DNA extraction kit, followed by amplification and sequencing of the 16S rRNA V3-V4 region. Bioinformatics analysis was performed to assess the microbiota composition. Pearson correlation analysis was used to explore the relationship between microbiota indices and PSCI. Results: The Mini-Mental State Examination (MMSE) scores in the stroke (16.33±4.29) and PSCI (20.53±2.24) groups were significantly lower than that of the control group (23.36±2.44) (P < 0.05). Similarly, Montreal Cognitive Assessment (MoCA) scores in the stroke (23.58±1.55) and PSCI (26.59±1.48) groups were lower than in the control group (28.33±1.45) (P < 0.05). Regarding intestinal microbiota α-diversity, indices such as Chao1 estimator, abundance-based coverage estimator (Ace), Shannon-Wiener diversity index, and Simpson index were significantly lower in the PSCI group compared to the stroke and control groups (P < 0.05), whereas no significant difference was observed between the stroke and control groups (P > 0.05). At the phylum level, Firmicutes, Bacteroidetes, Actinobacteria, and Proteobacteria were identified as the predominant phyla in all three groups, although their relative abundances differed significantly (P < 0.05). The relative abundance of Firmicutes and Actinobacteria was significantly lower in the PSCI group compared to the stroke and control groups, whereas the relative abundance of Bacteroidetes and Proteobacteria was higher in the PSCI group than in the control and stroke groups. At the genus level, the relative abundance of Bifidobacterium and Lactobacillus was lower in the PSCI group compared to the stroke and control groups, while the relative abundance of Bacteroides and Clostridium was higher in the PSCI group (P < 0.05). Pearson correlation analysis revealed a positive correlation between PSCI and Bacteroidetes, Proteobacteria, Bacteroides, and Clostridium (r = 0.327, 0.493, 0.425, respectively), while a negative correlation was found with Firmicutes, Actinobacteria, Lactobacillus, and Bifidobacterium (r = -0.261, -0.503, -0.623, -0.456, respectively) (P < 0.05). Conclusion: Significant alterations in the gut microbiota composition were observed in PSCI patients from the Zhuang population in Baise, Guangxi. These changes may be closely associated with the onset and progression of PSCI, providing a basis for future studies on the role of the gut microbiota in PSCI and potential therapeutic strategies such as fecal microbiota transplantation.

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References

[1] Han, D., Dilinuer, T., Huang, Z., et al. Research progress on the improvement of cognitive dysfunction after acute stroke by traditional Chinese medicine through regulating the gut-brain axis. Journal of Integrated Traditional Chinese and Western Medicine on Cardiovascular Diseases, 2023, 21(10): 1811-1815.

[2] Chen, H., Yan, X., Zhou, J., et al. Research progress on the correlation between gut microbiota and its metabolites with cognitive dysfunction after stroke. International Journal of Neurology and Neurosurgery, 2020, 47(5): 545-549.

[3] Huang, F., Jia, W. The relationship between gut microbiota and its metabolites with the outcomes of ischemic stroke. International Journal of Cerebrovascular Diseases, 2024, 32(1): 40-44.

[4] Wu, Y., Li, S., Liang, D., et al. The relationship between MTHFR C677T gene polymorphism in the Baise ethnic minority population and the incidence of ischemic stroke. Shandong Medical Journal, 2023, 63(19): 71-75.

[5] Tian, H., Yang, Y., Li, W., et al. Research progress on the role of gut microbiota and its metabolites in the pathogenesis of cognitive dysfunction after stroke. Shandong Medical Journal, 2022, 62(34): 85-88.

[6] Chinese Society of Emergency Medicine, Expert Consensus Group on Assessment and Intervention of Collateral Circulation in Acute Ischemic Stroke. Expert consensus on assessment and intervention of collateral circulation in acute ischemic stroke. Chinese Journal of Emergency Medicine, 2022, 31(10): 1310-1318.

[7] Expert Group of the Stroke Society of China on Research Consensus for Prevention and Treatment of Cognitive Dysfunction after Stroke. Expert consensus on the prevention and treatment of cognitive dysfunction after stroke in China. Chinese Stroke Journal, 2020, 15(2): 158-166.

[8] Ji, H., Hu, C., Zhang, G., et al. Preliminary application of the Mini-Mental State Examination in evaluating cognitive function in patients with glioma. Tumor Research and Clinical, 2012, 24(5): 311-312, 315.

[9] Zhang, L., Liu, X. Study on the reliability and validity of the Chinese version of the Montreal Cognitive Assessment Scale. Nursing Research, 2007, 21(31): 2906-2907. DOI:10. 3969/j.issn.1009-6493.2007.31.044.

[10] El Husseini N, Katzan IL, Rost NS, et al; American Heart Association Stroke Council; Council on Cardiovascular and Stroke Nursing; Council on Cardiovascular Radiology and Intervention; Council on Hypertension; and Council on Lifestyle and Cardiometabolic Health. Cognitive Impairment After Ischemic and Hemorrhagic Stroke: A Scientific Statement From the American Heart Association/American Stroke Association. Stroke. 2023,54(6):272-291.

[11] Feng, R., Yu, Q., Li, Y., et al. Study on the characteristics of gut microbiota dysbiosis in patients with cognitive dysfunction after stroke. Journal of Sichuan University (Medical Edition), 2021, 52(6): 966-974.

[12] Wu, B., Zheng, D., Zhang, Z., et al. Effects of low-frequency repetitive transcranial magnetic stimulation combined with probiotics on cognition, motor function, and gut microbiota in stroke patients with depression. Chinese Journal of Microecology, 2020, 32(10): 1182-1185, 1189.

[13] Li, Y., Yu, Q., Huang, L., et al. Correlation between gut microbiota changes and cognitive function in patients with early cognitive decline after stroke. Journal of Sichuan University (Medical Edition), 2022, 53(5): 857-865.

[14] Weterings, R.P., Kessels, R.P., de Leeuw, F.E., et al. Cognitive impairment after a stroke in young adults: A systematic review and meta-analysis. International Journal of Stroke, 2023, 18(8): 888-897.

[15] Lv, Z., Wang, Y., Liu, R., et al. Research progress on the correlation between the gut microbiota-gut-brain axis and cognitive dysfunction after stroke. Journal of Medical Research, 2024, 49(9): 1073-1079.

[16] Tay, J., Morris, R.G., Markus, H.S. Apathy after stroke: Diagnosis, mechanisms, consequences, and treatment. International Journal of Stroke, 2021, 16(5): 510-518.

[17] Liang, J., Dong, J., Yang, Y. Differences in gut microbiota among middle-aged and elderly populations with different stroke risk levels. Journal of Clinical Medicine, [journal issue not provided].

[18] Einstad MS, Saltvedt I, Lydersen S,et al. Associations between post-stroke motor and cognitive function: a cross-sectional study. BMC Geriatr. 2021,21(1):103.

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Published

20-01-2025

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How to Cite

Yang , C., Qin, Z., Meng, L., & Long, T. (2025). Analysis of Gut Microbiota Characteristics in Zhuang Ethnic Group Patients with Post-Stroke Cognitive Impairment in Baise City, Guangxi. International Journal of Biology and Life Sciences, 9(1), 9-14. https://doi.org/10.54097/xx41qm58